Generation of Eupnea and Sighs by a Spatiochemically Organized Inspiratory Network
Bibliographic record
Abstract
The discovery of the rhythmogenic pre-Bötzinger complex (preBötC) inspiratory network, which remains active in a transverse brainstem slice, greatly increased the understanding of neural respiratory control. However, basic questions remain unanswered such as (1) What are the necessary and sufficient slice boundaries for a functional preBötC? (2) Is the minimal preBötC capable of reconfiguring between inspiratory-related patterns (e.g., fictive eupnea and sighs)? (3) How is preBötC activity affected by surrounding structures? Using newborn rat slices with systematically varied dimensions in physiological [K(+)] (3 mM), we found that a 175 microm thickness is sufficient for generating inspiratory-related rhythms. In 700-microm-thick slices with unilaterally exposed preBötC, a kernel <100 microm thick, centered 0.5 mm caudal to the facial nucleus, is necessary for rhythm generation. Slices containing this kernel plus caudal structures produced eupneic bursts of regular amplitude, whereas this kernel plus rostral tissue generated sighs, intermingled with eupneic bursts of variable amplitude ("eupnea-sigh pattern"). After spontaneous arrest of rhythm, substance-P or neurokinin-1 (NK1) receptor agonist induced the eupnea-sigh burst pattern in > or = 250-microm-thick slices, whereas thyrotropin-releasing hormone or phosphodiesterase-4 blockers evoked the eupnea burst pattern. Endogenous rhythm was depressed by NK1 receptor antagonism. Multineuronal Ca(2+) imaging revealed that preBötC neurons reconfigure between eupnea and eupnea-sigh burst patterns. We hypothesize a (gradient-like) spatiochemical organization of regions adjacent to the preBötC, such that a small preBötC inspiratory-related oscillator generates eupnea under the dominant influence of caudal structures or thyrotropin-releasing hormone-like transmitters but eupnea-sigh activity when the influence of rostral structures or substance-P-like transmitters predominates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".